Evidence map›Paper›PMID 39727832›Full record

ArticleBiosensors2024

A Reflective Terahertz Point Source Meta-Sensor with Asymmetric Meta-Atoms for High-Sensitivity Bio-Sensing.

Luwei Zheng, Kazuki Hara, Hironaru Murakami, Masayoshi Tonouchi, Kazunori Serita

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Luwei ZhengInstitute of Laser Engineering, Osaka University, Suita 565-0871, Osaka, Japan.
Kazuki HaraInstitute of Laser Engineering, Osaka University, Suita 565-0871, Osaka, Japan.
Hironaru MurakamiInstitute of Laser Engineering, Osaka University, Suita 565-0871, Osaka, Japan.ORCID 0000-0003-0399-8104
Masayoshi TonouchiInstitute of Laser Engineering, Osaka University, Suita 565-0871, Osaka, Japan.ORCID 0000-0002-9284-3501
Kazunori SeritaInstitute of Laser Engineering, Osaka University, Suita 565-0871, Osaka, Japan.ORCID 0000-0001-6425-8359

Funding

China Scholarship Council 202206170007Japan Science and Technology Agency JPMJFR2029Japan Society for the Promotion of Science JP20K20536Japan Society for the Promotion of Science JP21H01392Japan Society for the Promotion of Science JP22H01550Japan Society for the Promotion of Science JP23H0018Japan Society for the Promotion of Science JP23K22820
6 · The paper itself

Abstract

Biosensors operating in the terahertz (THz) region are gaining substantial interest in biomedical analysis due to their significant potential for high-sensitivity trace-amount solution detection. However, progress in compact, high-sensitivity chips and methods for simple, rapid and trace-level measurements is limited by the spatial resolution of THz waves and their strong absorption in polar solvents. In this work, a compact nonlinear optical crystal (NLOC)-based reflective THz biosensor with a few arrays of asymmetrical meta-atoms was developed. A near-field point THz source was locally generated at a femtosecond-laser-irradiation spot via optical rectification, exciting only the single central meta-atom, thereby inducing Fano resonance. The reflective resonance response demonstrated dependence on several aspects, including structure asymmetricity, geometrical size, excitation point position, thickness and array-period arrangement. DNA samples were examined using 1 μL applied to an effective sensing area of 0.234 mm

Indexed as

Biosensing TechniquesDNATerahertz RadiationTerahertz SpectroscopyDNADNAFano resonancemeta-atomnonlinear optical crystalpoint terahertz sourcereflective resonance responseterahertzterahertz biosensors

Identifiers

PMID39727832
PMCPMC11675057

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.